Regularization of Shape from Shading Problem Using Spline Functional

스플라인 범함수에 의한 명암에서 형상복구 문제의 정즉화

Shape from shading problem, such as other most early visions, is ill-posed problems, which can be solved by the use of regularization methods. This paper proposes the three kinds of stabilizer for the regularization. These are integrability constraints and spline functionals. Parallel iterative schemes are derived in the form of the finite difference approximation. Experimental results, show that the average error in surface orientation is less than 5%.